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based optimization » whale optimization (Expand Search)
step optimization » after optimization (Expand Search), swarm optimization (Expand Search), model optimization (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
data step » data set (Expand Search)
based optimization » whale optimization (Expand Search)
step optimization » after optimization (Expand Search), swarm optimization (Expand Search), model optimization (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
data step » data set (Expand Search)
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DataSheet_1_Exploring deep learning radiomics for classifying osteoporotic vertebral fractures in X-ray images.docx
Published 2024“…Utilizing the binary “One-vs-Rest” strategy, the model based on the RadImageNet dataset demonstrated superior efficacy in predicting Class 0, achieving an AUC of 0.969 and accuracy of 0.863. …”
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62
Flow diagram of the automatic animal detection and background reconstruction.
Published 2020“…(E) The threshold value is calculated based on the histogram: it is the mean of the image subtracted by 4 (optimal value defined by trial and error). …”
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63
Data_Sheet_1_Alzheimer’s Disease Diagnosis and Biomarker Analysis Using Resting-State Functional MRI Functional Brain Network With Multi-Measures Features and Hippocampal Subfield...
Published 2022“…Finally, we implemented and compared the different feature selection algorithms to integrate the structural features, brain networks, and voxel features to optimize the diagnostic identifications of AD using support vector machine (SVM) classifiers. …”